Biofortification of crops with nutrients by the application of nanofertilizers for effective agriculture.

The agricultural industry is rapidly accepting daily changes and updates, and expanding to meet the basic demands of humanity. The main objective of modern agricultural practices is high profits with minimal investment, without upsetting any other form of life or abiotic factors. According to this principle, nanofertilizers are recommended for use in agriculture and are classified in different ways based on their nutritive value, functional role in the environment, chemical composition, and form of application to ensure their persistent availability in the required quantities. These nanofertilizers meet the global crop nutrient requirement of 191.8 million metric tons along with multitudes of added value, and which are highly endorsed in the agricultural field compared to other chemical fertilizers, or their usage can be reduced to less than 50% by the use of nanofertilizers. In this review, we discuss different types of nanofertilizers, their effects on crop yield, stress tolerance, and their impact on the environment. Furthermore, the different types of nanofertilizer delivery, modes of action, and toxic impacts of nanofertilizers have been discussed. Although a large number of commercially successful effects of nanofertilizers have been demonstrated, the effects of biomagnification and cellular transformation are still disputed. The effect of the biomagnification of nanofertilizers remains unclear. A suitable strategy must be developed to easily recycle nanofertilizers. It is the need of the hour to accept the use of nanofertilizers in parallel to addressing this issue.

Exhaled breath signal analysis for diabetes detection: an optimized deep learning approach.

In this study, a flexible deep learning system for breath analysis is created using an optimal hybrid deep learning model. To improve the quality of the gathered breath signals, the raw data are first pre-processed. Then, the most relevant features like Improved IMFCC, BFCC (bark frequency), DWT, peak detection, QT intervals, and PR intervals are extracted. Then, using these features the hybrid classifiers built into the diabetic's detection phase is trained. The diabetic detection phase is modeled with an optimized DBN and BI-GRU model. To enhance the detection accuracy of the proposed model, the weight function of DBN is fine-tuned with the newly projected Sine Customized by Marine Predators (SCMP) model that is modeled by conceptually blending the standard MPA and SCA models, respectively. The final outcome from optimized DBN and Bi-GRU is combined to acquire the ultimate detected outcome. Further, to validate the efficiency of the projected model, a comparative evaluation has been undergone. Accordingly, the accuracy of the proposed model is above 98%. The accuracy of the proposed model is 54.6%, 56.9%, 56.95, 44.55, 57%, 56.95, 18.2%, and 56.9% improved over the traditional models like CNN + LSTM, CNN + LSTM, CNN, LSTM, RNN, SVM, RF, and DBN, at 60th learning percentage.

Assessment of Planting Method and Deficit Irrigation Impacts on Physio-Morphology, Grain Yield and Water Use Efficiency of Maize (Zea mays L.) on Vertisols of Semi-Arid Tropics.

Agriculture in a water-limited environment is critically important for today and for the future. This research evaluates the impact of deficit irrigation in different planting methods on the physio-morphological traits, grain yield and WUE of maize (Zea mays L.). The experiment was carried out in 2015 and 2016, consisting of three planting methods (i.e., BBF, SNF, and DWF) and four irrigation levels (i.e., I10D: irrigation once in ten days, I40: irrigation at 40% DASM, I50: irrigation at 50% DASM, and I60: irrigation at 60% DASM). The results reveal that varying degrees of water stress due to planting methods and irrigation levels greatly influenced the maize physio-morphological traits and yield attributes. The combined effect of DWF + I50 benefited the maize in terms of higher leaf area, RWC, SPAD values, CGR, and LAD, followed by the SNF method at 60 DAS. As a result, DWF + I50 and SNF + I50 had higher 100 grain weight (30.5 to 31.8 g), cob weight (181.4 to 189.6 g cob-1) and grain yield (35.3% to 36.4%) compared to other treatments. However, the reduction in the number of irrigations (24.0%) under SNF + I50 resulted in a 34% water saving. Thus, under a water-limited situation in semi-arid tropics, the practice of the SNF method + I50 could be an alternative way to explore the physio-morphological benefits in maize.

Automatic identification of epileptic seizures using volume of phase space representation.

Epilepsy is a neurological disorder that affects people of any age, which can be detected by Electroencephalogram (EEG) signals. This paper proposes a novel method called Volume of Phase Space Representation (VOPSR) to classify seizure and seizure-free EEG signals automatically. Primarily, the recorded EEG signal is disintegrated into several Intrinsic Mode Functions (IMFs) using the Empirical Mode Decomposition (EMD) method and the three-dimensional phase space have been reconstructed for the obtained IMFs. The volume is measured for the obtained 3D-PSR for different IMFs called VOPSR, which is used as a feature set for the classification of Epileptic seizure EEG signals. Support vector machine (SVM) is used as a classifier for the classification of epileptic and epileptic-free EEG signals. The classification performance of the proposed method is evaluated under different kernels such as Linear, Polynomial and Radial Basis Function (RBF) kernels. Finally, the proposed method outperforms noteworthy state-of-the-art classification methods in the context of epileptic EEG signals, achieving 99.13% accuracy (average) with the Linear, Polynomial, and RBF kernels. The proposed technique can be used to detect epilepsy from the EEG signals automatically without human intervention.

Analysis of AYUSH studies registered in clinical trials registry of India from 2009 to 2020.

BACKGROUND: The Clinical Trials Registry-India (CTRI) is an initiative of the Indian Council of Medical Research, New Delhi, India (ICMR) and monitored by the ICMR-National Institute of Medical Statistics (NIMS) since July 20, 2007. Randomized clinical trials are considered as the gold standard in evidence-based medicine. Registration of clinical trials enables disseminating evidence among clinicians, researchers, and patients. It promotes transparency and avoids duplication. The registration process is mandatory for AYUSH clinical trials also. OBJECTIVES: This analysis is aimed to determine the different characteristics of registered AYUSH clinical trials in CTRI from 2009 to 2020. MATERIALS AND METHODS: A cross-sectional retrospective analysis was conducted. The information on registered clinical trials about AYUSH was obtained from the website www.ctri.nic.in from 2009 to 2020 (n = 3632; last accessed on July 30 2020). Data analysis considered the following factors for analysis using descriptive statistics. The number of clinical trials registered in AYUSH stream were classified according to registration type (retrospective/prospective), postgraduate dissertations (yes/no), primary sponsor, type of trial (interventional/observational), study design, health condition and State-wise distribution of sites of studies. RESULTS: The number of clinical trial registrations among AYUSH streams (3632) descends from Ayurveda (2054), followed by Siddha (635), Yoga (408), Unani (366) and Homoeopathy (169). Interventional studies dominate observational studies among all AYUSH registered trials. AYUSH streams took four years to register in CTRI due to an increase in reporting trials from 2013. Significant number of trials were registered retrospectively. The order of closure of retrospective registration has influenced an increase in prospective enrolment between 2017-2019. CONCLUSION: Registration of clinical trials in the CTRI should be encouraged. Randomized controlled trials (RCTs) occupy a rear seat which exposes an opportunity for trials and alarms about weak trials. Non-communicable diseases (NCDs) are registered more comparatively, which reflects the strength of AYUSH in NCDs. Most of the trials fall under phase 2, which seems to have an increasing opportunity for more trials. Certain visible flaws like registering Phase 2 trials as Phase 3 or 4 and domestic trials as international trials reflect human resources crunch in ICMR-CTRI in Issuing Certificates. These errors should be rectified by training the stakeholders effectively.

Molecular identification and evolutionary relationships between the subspecies of Musa by DNA barcodes.

BACKGROUND: The banana (Musa sp., AAA) genome is constantly increasing due to high-frequency of somaclonal variations. Due to its large diversity, a conventional numerical and morphological based taxonomic identification of banana cultivars is laborious, difficult and often leads to subject of disagreements. RESULTS: Hence, in the present study, we used universal DNA barcode ITS2 region to identify and to find the genetic relationship between the cultivars and varieties of banana. Herein, a total of 16 banana cultivars were PCR amplified using ITS2 primer pair. In addition, 321 sequences which were retrieved from GenBank, USA, were used in this study. The sequences were then aligned using Clustal W and genetic distances were computed using MEGA V5.1. The study showed significant divergence between the intra- and inter-specific genetic distances in ITS2 region. BLAST1 and Distance methods proved that ITS2 DNA barcode region successfully identified and distinguished the cultivar and varieties of banana. CONCLUSION: Thus, from the results of the present study, it is clear that ITS2 is not only an efficient DNA barcode to identify the banana species but also a potential candidate for enumerating the phylogenetic relationships between the subspecies and cultivars. This is the first comprehensive study to categorically distinguish the economically important banana subspecies and varieties using DNA barcodes and to understand its evolutionary relationship.

An immunoinformatics approach to define T cell epitopes from polyketide and non-ribosomal peptide synthesis proteins of Mycobacterium tuberculosis as potential vaccine candidates.

The role of polyketide and non-ribosomal proteins from the class of small molecule metabolism of Mycobacterium tuberculosis is well documented in envelope organization, virulence, and pathogenesis. Consequently, the identification of T cell epitopes from these proteins could serve to define potential antigens for the development of vaccines. Fourty-one proteins from polyketide and non-ribosomal peptide synthesis of small molecule metabolism proteins of M tuberculosis H37Rv were analyzed computationally for the presence of HLA class I binding nanomeric peptides. All possible overlapping nanomeric peptide sequences from 41 small molecule metabolic proteins were generated through in silico and analyzed for their ability to bind to 33 alleles belonging to A, B, and C loci of HLA class I molecule. Polyketide and non-ribosomal protein analyses revealed that 20% of generated peptides were predicted to bind HLA with halftime of dissociation T1/2  ≥ 100 minutes, and 77% of them were mono-allelic in their binding. The structural bases for recognition of nanomers by different HLA molecules were studied by structural modeling of HLA class I-peptide complexes. Pathogen peptides that could mimic as self-peptides or partially self-peptides in the host were excluded using a comparative study with the human proteome; thus, subunit or DNA vaccines will have more chance of success.

Culture of chicken embryo in interspecific surrogate egg white.

The effect of interspecific egg white on the development of chicken embryos was investigated in a surrogate eggshell culture system. Egg yolks were separated from fertile White Leghorn chicken eggs and cultured in different egg whites from turkey (group TK), guineafowl (group GF), and duck (group DK), and chicken (group CK) was used as control. The viability of chicken embryos in groups CK, TK, GF, and DK after 3 d culture in system II was 98.3, 90.2, 96.1, and 91.1%. The whole contents (egg yolk and surrogate egg white) were further transferred into an eggshell from a 1.5 times heavier chicken egg with air space (system III), and incubated for further 16 d, before moving them to a hatcher. No significant difference between the 4 groups was found in their viabilities, which ranged between 72.9 and 81.3%, until 14 d postincubation (P > 0.05). After 21 d, the viability decreased to 60.4, 57.4, 50.0, and 27.7% in groups CK, TK, GF, and DK. The viability in group DK was significantly lower than in the other groups (P < 0.05). Weight loss in system III was approximately 12% in all the 4 groups without significant difference (P > 0.05). Hatchability of the chicken embryo was 60.4, 55.3, 47.9, and 19.1% in groups CK, TK, GF, and DK, respectively, and that in group DK was significantly lower than in the other groups (P < 0.05). There was no difference between the other groups (P > 0.05). These results show that chicken embryos can develop to hatch in duck, guineafowl, and turkey egg whites. However, the hatchability decreases according to the phylogenetic distance. The present study will provide a tool for manipulation of avian embryos and eventual conservation of endangered wild birds.

Exenatide therapy in insulin-treated type 2 diabetes and obesity.

BACKGROUND: Exenatide, a GLP-1 analogue, is used in combination with oral anti-diabetic agents in type 2 diabetes and obesity, and promotes weight loss. Exenatide use in combination with insulin in insulin-treated type 2 diabetes and obesity is unlicensed in the UK and outcomes are unclear. AIMS: To assess the effectiveness of exenatide in insulin-treated type 2 diabetes with obesity. DESIGN AND METHODS: This prospective study included 174 consecutive patients with insulin-treated type 2 diabetes and obesity initiated on exenatide in our out-patient, between October 2007 and November 2008. Weight, BMI, HbA1c, serum fructosamine, total cholesterol, HDL-cholesterol and insulin doses were recorded at baseline, 3, 6 and 12 months. Side effect profiles were recorded. RESULTS: Fourteen patients discontinued exenatide before 3 months of initiation, because of side effects, and were excluded. Data were analysed on remaining 160 people all of whom completed 6 months and 57 completed 12 months treatment. Mean weight loss was 10.7 +/- 5.7 kg and 12.8 +/- 7.5 kg (P < 0.001) at 6 and 12 months. Insulin doses dropped significantly (mean 144 +/- 90 U/day at baseline to 51 +/- 55 U/day and 55 +/- 53 U/day at 6 and 12 months). At 3 months, 25% came off insulin. There was little change in HbA1c. CONCLUSION: Exenatide therapy in insulin-treated type 2 diabetes and obesity was associated with very significant reductions in weight and insulin doses. Exenatide should be considered in people with type 2 diabetes on insulin and have obesity, weight gain and poor glycaemic control.

With a pinch of salt.

This report highlights a case of severe hyponatraemia secondary to excessive sweating and salt [corrected] poor fluid consumption and low salt diet in hot conditions. The case was complicated by the presence of marked hypokalaemia caused by secondary hyperaldosteronism confirmed, for the first time, by the presence of grossly elevated serum renin and aldosterone concentrations. With the rise in global temperature affecting even temperate climates doctors, especially in acute and general medicine, may be faced with this condition more often.

Validation of an algorithm combining haemoglobin A(1c) and fasting plasma glucose for diagnosis of diabetes mellitus in UK and Australian populations.

AIM: To determine whether glycated haemoglobin (HbA(1c)) can be used in combination with fasting plasma glucose (FPG) for the diagnosis of diabetes in patients with impaired fasting glucose (IFG) and in a broader spectrum of patients. METHODS: An algorithm was derived from oral glucose tolerance test (OGTT) capillary samples in 500 consecutive UK patients with IFG by World Health Organization criteria. It was validated in a further 500 UK patients and, with venous specimens, in 1175 unselected Australian patients. RESULTS: The derivation cohort was aged 61 years (50-69 years) (median IQ range) with 52% male and 12% South Asian. Diabetes Control and Complications Trial-aligned HbA(1c) was 6.2% (5.8-6.6%) (reference interval < 6.0%) and FPG 6.7 mmol/l (6.3-7.2 mmol/l). FPG was in the diabetes range in 36% of patients, with an OGTT identifying a further 12% with diabetes. The derived algorithm, (HbA(1c) >or= 6.0% with FPG < 7.0 mmol/l) identified those patients requiring an OGTT to diagnose diabetes. When applied to the UK validation cohort, sensitivity was 97% and specificity 100%. The algorithm was equally effective in the unselected group, aged 59 years (49-68 years) and 54% male, with sensitivity 93% and specificity 100%. HbA(1c) was 6.0% (5.6-6.6%) and FPG 6.0 mmol/l (5.3-6.8 mmol/l), with 26% having IFG. Use of the algorithm would reduce the number of OGTTs performed in the UK validation cohort by 33% and by 66% in the Australian patients studied. CONCLUSIONS: Use of this algorithm would simplify procedures for diagnosis of diabetes and could also be used for monitoring pre-diabetes. Validation is now required in other populations and patient groups.

The effectiveness of a hospital diabetes outreach service in supporting care for acutely admitted patients with diabetes.

BACKGROUND: Patients with diabetes have increased frequency of hospital admissions and longer lengths of stay compared to patients without diabetes. Our specialist diabetes inpatient service was reconfigured to deliver a proactive diabetes outreach service to improve the overall care of this population. AIMS: To ascertain the effect of a structured diabetes outreach service to acutely admitted patients with diabetes on avoidable admissions, delayed discharges and appropriate diabetes related follow-up plans. METHODS: Audits were carried out before and 4 months after the introduction of a diabetes outreach service. The proportion of patients under care of the diabetes team, avoidable admissions, delayed discharges and existence of effective follow-up plans were compared pre- and post-implementation of this outreach service. RESULTS: The number of inpatients with diabetes fell by 35% (83 on a typical day pre-outreach vs. 53 post-outreach) despite a similar number of total medical admissions in that month (1449 vs.1459). This was due to a reduction in those admitted with diabetes related (13 vs. 5) and general medical (29 vs. 10) problems whilst numbers requiring other specialist care (41 vs. 39) remained unchanged. The proportion of patients under the care of diabetes team rose (23% vs. 73%) while those with avoidable admissions (18% vs. 7%), delayed discharges (17% vs. 2%) and inappropriate discharge plans (65% vs. 11%) all fell. CONCLUSION: This reformatted service was associated with a marked improvement in a number of parameters relevant to inpatient care.

Clinical utility of estimated glomerular filtration rates in predicting renal risk in a district diabetes population.

AIMS: To determine the utility of estimated glomerular filtration rates (eGFR) in predicting renal risk over and above currently available strategies that incorporate serum creatinine and microalbuminuria in a diabetes population. METHODS: Cross-sectional study of 4548 diabetic individuals attending a single centre over an 18-month period. Glomerular filtration rates were estimated using the Modification of Diet in Renal Disease (MDRD) equation. Microalbuminuria was measured using spot morning urine for albumin:creatinine ratio (ACR). SPSS was utilized for statistical analysis. RESULTS: Of the 4303 subjects with complete data, 373 (9%), 2634 (61%), 1197 (28%) and 99 (2%) individuals, respectively, had eGFR > 90, 90-60, 60-30 and < 30 ml/min per 1.73 m(2), respectively. Of those with clinically meaningful renal disease (eGFR < 60 ml/min per 1.73 m(2)), only 42% and 45%, respectively, were identified as at risk by clinical strategies utilizing serum creatinine and urine ACR individually. Even using the two together, 38% of the patients at risk would still not have been identified, since they had normal values of both. CONCLUSION: Current strategies utilizing serum creatinine and urine ACR are insufficient for the detection of renal disease in diabetes. Clinicians should consider monitoring GFR estimates in addition to assessing blood pressure, serum creatinine and urine albumin excretion in order to assess renal status and risk in adults with diabetes.

Does ethnic origin have an independent impact on hypertension and diabetic complications?

AIM: The morbidity and mortality from cardiovascular complications in diabetes reputedly differ with ethnicity. We have evaluated the prevalence of hypertension and vascular complications amongst Afro-Caribbean (AC), Caucasian (C) and Indo-Asian (IA) ethnic subgroups of a district's diabetes population to estimate the impact of ethnic origin as an independent risk variable. METHODS: Of the 6485 registered adult individuals, 6047 had ethnic data available and belonged to one of the three ethnic groups described (AC 9%, C 70% and IA 21%). Statistical analyses were performed using spss version 11.5. RESULTS: Results are presented as mean +/- s.d. or percentage. IAs were younger (AC 63 +/- 13, C 61 +/- 15 and IA 57 +/- 13 years), were less obese (body mass index 30 +/- 8, 29 +/- 9, 28 +/- 6 kg/cm2) and had lower systolic blood pressure (155 +/- 25, 149 +/- 24, 147 +/- 24 mmHg) and lower prevalence of hypertension (82%, 74% and 68%) compared with C, who had lower values than AC (all p < 0.01). Relative to C group, the AC group had higher prevalence of hypertension and microvascular complications but lower macrovascular disease burden, while the IA group had lower hypertension and macrovascular complications but with comparable microvascular disease burden [microvascular (51%, 44% and 46%; p < 0.01) and macrovascular (33%, 40% and 32%; p < 0.001)]. On logistic regression, this effect of ethnic origin on diabetic complications was found to be significant and independent of other risk variables. CONCLUSION: Hypertension and diabetic complication rates were different amongst ethnic subgroups. On logistic regression, it was found that the difference in distribution of age and diabetes duration largely accounted for this difference, although ethnic origin remained an independent risk factor.

Hypertension-based clinical risk strategies for detecting microalbuminuria in diabetes.

BACKGROUND: Microalbuminuria screening to identify patients at risk of diabetic nephropathy is widely accepted. AIM: To investigate whether blood-pressure-based strategies can identify such patients without the need for microalbuminuria testing. METHODS: Spot urine for albumin/creatinine ratios was performed in all patients over an 18-month period. The performance of four combinations of clinical models, based on existing triggers for anti-hypertensive intervention (prior use and/or existing systolic BP exceeding 140 or 160 mmHg and/or dipstick proteinuria exceeding 1+ or 2+) was evaluated at microalbuminuria thresholds of 3.5 and 10 mg/mmol. The models were ranked 1 to 4, based on their escalating relative strengths in predicting need for intervention. RESULTS: Of 3748 patients, 1257 (34%) or 739 (20%) exceeded microalbuminuria thresholds of 3.5 or 10 mg/mmol. All four models predicted microalbuminuria risk (areas under ROC curves 0.60-0.77, all p < 0.001). The models (1-4) identified 2220, 2465, 2803 or 2937 for intervention, respectively, irrespective of microalbuminuria status, and missed 368, 232, 194 or 126 at 3.5 mg/mmol and 164, 87, 81 or 45 at 10 mg/mmol. DISCUSSION: Clinical models using routinely measured parameters reduced the target population for microalbuminuria screening by 60-80%, missing 3-10% of patients with albumin/creatinine ratios exceeding 3.5 mg/mmol or 1-4% of those exceeding 10 mg/mmol.

Hypertension in diabetes: is there a place for age-adjusted centile cut-offs in those aged <50 years?

BACKGROUND: Conventional cut-offs for hypertension are arbitrary, and vascular complications can occur below these values, particularly in diabetes. AIM: To evaluate systolic blood pressure (SBP) distribution in diabetes and control populations, comparing hypertension prevalence using either conventional cut-offs (140 and 160 mmHg) or age-adjusted centile (75(th) and 90(th)) cut-offs derived from the control population. METHODS: We compared 2521 individuals with diabetes to 5809 controls, after excluding those on anti-hypertensives and with established vascular disease in both groups. RESULTS: Diabetic individuals were older (mean +/- SD 56 +/- 16 vs. 43 +/- 16years, diabetes vs. controls), and had higher BMI (29 +/- 5 vs. 24 +/- 4 kg /cm(2)) and SBP (145 +/- 23 vs. 131 +/- 18 mmHg, all p < 0.001). These factors were adjusted for in subsequent analysis. SBP rose with age and was also significantly higher in the diabetes group. In diabetes, conventional cut-offs indicated less hypertension in those aged < 50 years, compared to age-adjusted centile cut-offs. In age bands 18-29, 30-39, 40-49, 50-59, 60-69 and >70 years of the diabetes group, 24%, 33%, 43%, 62%, 70% and 74%, respectively exceeded 140 mmHg, compared to 35%, 44%, 43%, 45%, 40% and 27% exceeding the control-derived 75(th) centile value. DISCUSSION: The use of control-derived age-adjusted cut-offs may provide an alternative approach to define hypertension in diabetes that may be of particular relevance to younger patients, although this would require validation against outcomes.

Spontaneous regression of hypercalcemia in a patient with primary hyperparathyroidism and prolactinoma.

We describe a unique case of spontaneous resolution of hyperparathyroidism in a lady with combined parathyroid adenoma and prolactinoma, raising the possibility of underlying multiple endocrine neoplasia (MEN) 1 syndrome. We also discuss the mechanism and natural history of such spontaneous remission.

Diabetic ketoacidosis in pregnancy.

The occurrence of diabetic ketoacidosis in pregnancy compromises both the fetus and the mother. It usually occurs in the later stages of pregnancy and is also seen in newly presenting type 1 diabetes patients. Despite improvement in its incidence rates and outcomes over the years, it still remains a major clinical problem since it tends to occur at lower blood glucose levels and more rapidly than in non-pregnant patients often causing delay in the diagnosis. This article illustrates a typical case of diabetic ketoacidosis in pregnancy and reviews the literature to provide an insight into its pathophysiology and management.